Explore 485+ AI Developers
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Patricia Tani
Incoming Software Engineer at Vercel and former YC founder, Patricia Tani is building Lemon AI to eliminate friction between designers and developers by letting designers safely ship real code changes.
Lindy
Lindy builds a no-code AI agent platform that helps businesses create, manage, and deploy task-specific agents to automate workflows. The team publishes templates and documentation to accelerate use cases across sales, marketing, meetings, and customer support. Lindy emphasizes integrations, model-agnostic choices, and enterprise-grade security and compliance to support teams at scale.
Languine
Languine builds localization infrastructure that integrates directly into developer workflows and CI/CD pipelines. The team ships SDKs, a CLI, and a translation API to make translations predictable and automatable. Engineers and localization managers use Languine to maintain terminology, preserve format, and monitor usage across projects.
Replexica Inc.
Lingo.dev (by Replexica Inc.) builds an AI-first localization platform created by Max Prilutskiy that automates translations for developer workflows. The company focuses on delivering a developer experience with CLI tools, a JavaScript SDK, and CI/CD integration. The team emphasizes translation memory, context awareness, and customizable brand voice to keep translations consistent at scale.
Aomni
Aomni builds an AI-driven sales intelligence platform that generates account research, tailored outreach, and strategic GTM playbooks from company data. The product focuses on training customizable agents to surface relevant insights and create high-quality, repeatable deliverables for revenue teams. Aomni emphasizes integration with existing workflows to scale account-based engagement across sales, marketing, and customer success.
Evidence
Evidence builds a browser-native platform for creating data products, dashboards, and embedded analytics using SQL, markdown, and a developer-focused IDE. The team builds on open-source foundations and combines a managed ClickHouse-backed query engine with AI-assisted developer tools. Evidence emphasizes enterprise security, scalability, and a modern developer experience for building production-grade analytics.
Elium
Elium builds and operates an AI-powered knowledge management SaaS platform that helps teams centralize and access organizational knowledge. The company was founded in Belgium in 2007 and combines product engineering, customer success, and deployment services to support medium and large organizations. Elium emphasizes enterprise security, EU hosting, GDPR compliance and ISO 27001 certification to serve regulated customers. The team supports deployments with onboarding, templates, analytics and professional services.
Cognosys
Cognosys builds AI-powered solutions and developer tools focused on automation, data intelligence, and workflow optimization for businesses and technical teams
imputnet
Helium develops the Helium Chromium-based browser and accompanying open-source services. The project maintains privacy-first defaults, Chromium updates, and support for extensions while enabling users to self-host services. Development and releases are published on GitHub and packaging instructions are provided for major desktop platforms.
DX
DX builds a developer intelligence platform that measures engineering productivity and guides AI transformation for engineering organizations. The team includes researchers and engineering leaders, and the product is designed by experienced scientists — including a named chief scientist — to combine rigorous measurement with actionable tooling. DX differentiates by pairing analytics with operational features like catalogs, scorecards, and Backstage plugins to drive measurable change at scale.
Daniel Avila
Daniel Avila is a developer, designer, and entrepreneur focused on building tools and products that empower creators and developers. He shares insights on AI, product design, and software engineering on his blog, and is passionate about open source and developer experience.
Perplexity
Perplexity builds the Perplexity API and SDK to provide web-grounded LLMs and search-backed reasoning models for developers. The team publishes documentation, SDK quickstarts, and maintains an open developer community with a GitHub cookbook and forum. Perplexity documents token- and request-based pricing, OpenAI-compatible endpoints, and admin controls for billing and API key management.
Mainfunc
Mainfunc builds developer tools and AI platforms for rapid prototyping, app development, and workflow automation.
ElevenLabs
ElevenLabs builds AI audio models and products that power expressive text-to-speech, accurate speech-to-text, and deployable voice agents. The team combines research expertise and production engineering to deliver scalable APIs, SDKs, and a Studio for creators and enterprises. ElevenLabs emphasizes safety, provenance, and compliance while enabling creative workflows for audiobooks, dubbing, and conversational agents.
Decode
Decode builds tools for frontend developers to streamline UX review and code iteration by integrating AI directly into the browser interface.
Quetta
Quetta builds a privacy-first browser that prioritizes user data protection and a clean browsing experience. The team focuses on integrating advanced privacy features like tracker and fingerprint protection together with AI-driven ad blocking. Quetta emphasizes simplicity, speed, and extension support to deliver a powerful yet minimal browsing experience. The team communicates updates and support through product pages and community channels.
Hugging Face
Hugging Face builds developer tools and hosting for machine learning models and datasets, and operates the Model Hub used by researchers and practitioners. The team comes from machine learning research and open-source backgrounds and focuses on model discoverability, inference, and community-driven tooling. They maintain a range of tools and services to make model experimentation and deployment easier for developers.
Compyle
Compyle builds an interactive coding agent that plans with developers, asks clarifying questions, and implements code while enforcing project patterns. The team focuses on code-quality-first automation, combining repository analysis and in-progress review to avoid accumulating technical debt. They emphasize developer control and clear decision points so teams can guide builds instead of repairing them afterward.
Braintrust Data, Inc.
Braintrust builds an AI observability platform that helps engineering and product teams evaluate, monitor, and ship reliable AI features. The company develops Brainstore, a database optimized for AI traces, and Loop, an agent that automates eval and prompt workflows. The team focuses on scale, security, and enterprise deployment options including self-hosting and SOC 2 compliance.
Simular Inc.
Simular builds an autonomous computer platform that runs AI agents to automate desktop and web workflows. The team applies research from DeepMind and top AI labs to combine LLMs with symbolic execution and reinforcement learning. Simular ships production features for developers and enterprises, including developer tooling, cloud-hosted agents, and security/compliance options.
Reducto, Inc.
Reducto builds a document intelligence platform that converts unstructured documents into structured, LLM-ready data. The team combines computer vision, layout-aware models, and vision-language models to extract tables, figures, forms, and handwritten content with high accuracy. Reducto provides APIs and a Studio interface and offers enterprise features such as SOC2/HIPAA compliance, VPC/on-prem deployments, and custom SLAs.
Agentbase
Agentbase builds a serverless agent platform that lets teams deploy persistent, customizable AI agents with a single API call. The team includes founders with backgrounds in AI, HCI, and product engineering who focus on delivering zero-maintenance agent infrastructure. Agentbase provides SDKs, MCP support, and tooling to move agents from prototype to production quickly.
Lightning AI
Lightning AI builds an AI-first cloud and toolset for training, running, and serving machine learning models at scale. The platform combines managed inference, on-demand GPU infrastructure, and collaborative developer workspaces to reduce friction when shipping high-performance AI systems.
Thinking Machines
Thinking Machines builds Tinker, a developer-focused platform for training, fine-tuning, evaluating, and exporting large language models. The company provides APIs and a cookbook of reproducible recipes for supervised and reinforcement learning workflows. Tinker emphasizes efficient distributed training, fault tolerance, and the ability to export trained weights for external inference.